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A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects). Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, linear algebra, vectors and matrix mathematics. In addition, applicants should be competent in computer programming, close to the level expected at the end of the first year of a BSc honours degree in computer science.
Months of entry
Our Computational Finance MSc will introduce you to the computational methods that are widely used by practitioners and financial institutions in today’s markets. You will get a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto-currencies. The course is highly practical, and you'll have the opportunity to apply your learning to real-world data and case studies in hands-on laboratory sessions.
- 6th in the UK for Computer Science (QS World Rankings by subject 2020).
- Research lies at the heart of our department - 92% of research outputs ranked as world leading or internationally excellent in Computer Science (REF 2014).
- Friendly and supportive learning environment, with students from across the globe.
- Located in central London, you will have easy access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Postgraduate Admissions